{ "format": "hyperize/v1", "@id": "https://www.hyperize.ai/en/dax40-index/brands/siemens.json", "type": "BrandScore", "pageType": "BrandScore", "releaseState": "pilot_probe", "releaseLabel": "Pilot Probe", "title": "Siemens — Pilot Probe (Single-Task Observation, Wave Q2 2026)", "pilotProbe": { "status": "pilot_probe", "rationale": "Single-task observation under a narrower provider track than a full BrandScore. The Agent Success Score is computed but should be read as an early signal, not a fully-qualified score.", "promotionCriteria": "Confidence promotes to B (and releaseState to brand_score) when the next wave adds a second task and the fourth provider on the Discoverability track.", "nextWave": "WAVE-Q3-2026" }, "hook": { "en": "An agent can read the full SIMATIC S7-1500 controller spec, down to PROFINET and the modular CPU options, and walk the TIA Selection Tool from a new device all the way to \"Continue to order.\" Then it meets a Siemens ID login. Browser agents reach that point in three of three runs; a plain fetch or a script keeps the specs but stalls on a generic SiePortal shell. The close is real, the gate is the login.", "de": "Ein Agent kann die volle SIMATIC-S7-1500-Spezifikation lesen, bis zu PROFINET und den modularen CPU-Optionen, und das TIA Selection Tool vom neuen Gerät bis \"Weiter zur Bestellung\" durchlaufen. Dann trifft er ein Siemens-ID-Login. Browser-Agenten erreichen diesen Punkt in drei von drei Läufen; ein simpler Abruf oder ein Skript behält die Specs, bleibt aber an einer generischen SiePortal-Shell hängen. Der Abschluss ist real, das Tor ist das Login." }, "summary": { "en": "Browser-class agents configure the controller and reach order-ready; the simpler agents keep the spec but stall on a generic portal shell, and the order itself sits behind a Siemens ID login.", "de": "Browser-Agenten konfigurieren den Controller und erreichen Order-ready; die einfacheren Agenten behalten die Specs, bleiben aber an einer generischen Portal-Shell hängen, und die Bestellung selbst liegt hinter einem Siemens-ID-Login." }, "brandName": "Siemens", "legalEntity": "Siemens AG", "daxTicker": "SIE", "sector": "industrials", "sectorLabel": "Industrials", "inLanguage": "en", "datePublished": "2026-05-18", "dateModified": "2026-05-22", "nextReview": "2026-09-30", "confidence": "C", "evidenceTier": "proprietary", "wave": "WAVE-Q2-2026-W2", "url": "https://www.hyperize.ai/en/dax40-index/brands/siemens", "alternateLanguage": { "de": "https://www.hyperize.ai/de/dax40-index/brands/siemens" }, "isPartOf": { "@id": "https://www.hyperize.ai/en/dax40-index", "name": "DAX 40 Agent Success Index" }, "lanes": [ { "id": "commerce", "name": "Commerce", "measured": true }, { "id": "talent", "name": "Talent", "measured": false }, { "id": "aftersales", "name": "After-sales", "measured": false }, { "id": "procurement", "name": "Procurement", "measured": false }, { "id": "investor_relations", "name": "Investor Relations", "measured": false }, { "id": "press", "name": "Press", "measured": false } ], "commercialLane": { "visibility": { "question": "Will an agent find and recommend the brand?", "score": 44.03, "dimension": "Discoverability (D)", "methodVersion": "gate1/v1.1", "sampleSize": 18, "providers": [ "openai", "perplexity", "anthropic" ], "provenance": "measured" }, "usability": { "question": "Once an agent arrives — how far does it get toward the deal?", "score": 57, "scoreNote": "Derived from the access profile below + close state (usability-derivation/v1). NOT a hand-averaged number — a reproducible summary of observed agent behaviour.", "accessProfile": [ { "agentClass": "text", "outcome": "partial" }, { "agentClass": "search", "outcome": "pending" }, { "agentClass": "code", "outcome": "partial" }, { "agentClass": "browser", "outcome": "success" }, { "agentClass": "full_automation", "outcome": "success" } ], "blockedClasses": [], "passClasses": [ "browser", "full_automation" ], "closeState": "order_ready", "closeStateNote": "Reaches order-ready (product selection, prices, no login). The actual checkout sits behind a login wall and was NOT tested — the agentic purchase is unproven.", "methodVersion": "fleet/measured", "provenance": "measured" }, "evidence": { "score": 70, "basis": "estimate — cross-method ground-truth consistency, not a separate measured run", "note": "A confidence layer on the two axes above, not a third sales axis." } }, "score": { "compositeForIndexRanking": { "value": 55.71, "scale100": 55.71, "scale10": 5.6, "status": "computed", "formula": "Agent Success Score = (AI Visibility × 0.20) + (AI Usability × 0.70) + (Evidence × 0.10)", "methodVersion": "ars-methodology/v1.1", "usabilityDerivation": "usability-derivation/v1", "role": "index-ranking", "note": "Weighted composite, used for ranking the index. Read the two commercialLane axes (visibility + usability) for the standalone verdict — this single number blends them and is not the headline." }, "dimensions": { "aiVisibility": { "name": "AI Visibility (Discoverability)", "weight": 0.2, "value": 44.03, "methodVersion": "gate1/v1.1", "sampleSize": 18, "providers": [ "openai", "perplexity", "anthropic" ], "queryVariants": 3, "runsPerVariant": 2, "taskCount": 1 }, "aiUsability": { "name": "AI Usability (reach + completion)", "weight": 0.7, "value": 57, "derivation": "usability-derivation/v1", "basis": "derived from the access profile (per-class outcomes) + close state" }, "evidence": { "name": "Evidence", "weight": 0.1, "value": 70, "methodVersion": "estimate/v1" } } }, "thirdPartyInterception": { "classification": "none", "classificationLabel": "None", "directShare": 1, "intermediaryShare": 0, "intermediaryCaptureExamples": [], "narrative": { "en": "Industrial controller procurement reaches siemens.com directly through SiePortal and the TIA Selection Tool. No marketplace or distributor structurally displaces the brand for this product class; the open question measured here is the surface and the login gate, not the channel.", "de": "Industrielle Controller-Beschaffung erreicht siemens.com direkt über SiePortal und das TIA Selection Tool. Kein Marktplatz oder Distributor verdrängt die Marke für diese Produktklasse strukturell; die hier gemessene offene Frage ist die Surface und das Login-Tor, nicht der Kanal." } }, "bottleneck": { "type": "usability", "classification": { "en": "Usability", "de": "Usability" }, "classificationNote": { "en": "Found, but the surface stalls the agent.", "de": "Gefunden, aber die Surface stoppt den Agenten." }, "sentence": { "en": "Browser-class agents configure the controller and reach order-ready; the simpler agents keep the spec but stall on a generic portal shell, and the order itself sits behind a Siemens ID login.", "de": "Browser-Agenten konfigurieren den Controller und erreichen Order-ready; die einfacheren Agenten behalten die Specs, bleiben aber an einer generischen Portal-Shell hängen, und die Bestellung selbst liegt hinter einem Siemens-ID-Login." }, "executiveSummary": { "en": "Browser agents run the configurator to the order in every run; the simpler agents keep the specs but stall on a generic portal shell. The gap is the last step, the order sits behind a Siemens ID login, with discovery mid (found about four times in ten).", "de": "Browser-Agenten fahren den Konfigurator in jedem Lauf bis zur Bestellung; die einfacheren Agenten behalten die Specs, bleiben aber an einer generischen Portal-Shell hängen. Die Lücke ist der letzte Schritt, die Bestellung liegt hinter einem Siemens-ID-Login, bei mittlerer Discovery (etwa vier von zehn Malen gefunden)." } }, "testNarrative": { "verdict": { "en": "Browser agents configure and reach the order. A Siemens ID login is the wall.", "de": "Browser-Agenten konfigurieren und erreichen die Bestellung. Ein Siemens-ID-Login ist die Wand." }, "narrative": { "en": "We asked five kinds of AI agent to reach an order-ready state for a SIMATIC S7-1500 PLC with PROFINET on siemens.com. A browser agent ran the TIA Selection Tool end to end, created a device, opened the order list, and clicked \"Continue to order\" in all three runs, with full spec fidelity. A plain fetch and a script both kept the locked specs but reached only a generic SiePortal shell, not a product-resolved order. The order itself sits behind a Siemens ID login that no agent passed.", "de": "Wir haben fünf Typen von KI-Agenten auf siemens.com geschickt, um für eine SIMATIC S7-1500 mit PROFINET einen bestellbereiten Zustand zu erreichen. Ein Browser-Agent durchlief das TIA Selection Tool komplett, legte ein Gerät an, öffnete die Bestellliste und klickte in allen drei Läufen auf \"Weiter zur Bestellung\", mit voller Spec-Treue. Ein simpler Abruf und ein Skript behielten die gelockten Specs, erreichten aber nur eine generische SiePortal-Shell, keine produktaufgelöste Bestellung. Die Bestellung selbst liegt hinter einem Siemens-ID-Login, das kein Agent passierte." }, "scopeShift": { "en": "This is one product in one scope. Siemens spans automation, drives, mobility, smart infrastructure, and Healthineers, each with its own commercial surface.", "de": "Das ist ein Produkt in einem Scope. Siemens umfasst Automatisierung, Antriebe, Mobility, Smart Infrastructure und Healthineers, jeweils mit eigener kommerzieller Surface." }, "agentMatrix": [ { "type": "text", "status": "partial", "note": "Raw HTTP keeps the SIMATIC S7-1500 specs incl. PROFINET; the close stays a generic SiePortal shell" }, { "type": "search", "status": "pending", "note": "LLM runs pending" }, { "type": "code", "status": "partial", "note": "Extracts the locked specs, cannot complete a product-resolved close from page anchors" }, { "type": "browser", "status": "success", "note": "3/3 runs, full spec fidelity via the TIA Selection Tool" }, { "type": "full_automation", "status": "success", "note": "Configurator to order list to 'Continue to order', then the Siemens ID login gate" } ] }, "fairnessDeclaration": { "reviewPassed": false, "note": "Wave 2 (a fleet wave Industrials). Single measured task (SIMATIC S7-1500 PLC, order_ready close state, login-gated). AI Visibility 44.03 (18/18 valid datapoints across 3 providers); AI Usability derived from the a fleet wave access profile. Confidence C, single task; Fairness Review pending the sector fairness grid.", "methodologyUrl": "https://www.hyperize.ai/en/methodology/task-selection", "sectorGridRef": null }, "activeTasks": [ { "title": { "en": "Siemens SIMATIC S7-1500 PLC", "de": "Siemens SIMATIC S7-1500 SPS" }, "closeState": "order_ready", "intermediaryMode": "none", "businessRelevance": null, "difficultyBand": null, "engpass": { "en": "Specs fully readable; the product-resolved order is reachable via the configurator but hard-gated by a Siemens ID login. Simple/programmatic agents stall on a generic SiePortal shell.", "de": "Specs voll lesbar; die produktaufgelöste Bestellung ist über den Konfigurator erreichbar, aber durch ein Siemens-ID-Login hart abgeriegelt. Einfache/programmatische Agenten bleiben an einer generischen SiePortal-Shell hängen." } } ], "scoreHistory": [ { "date": "2026-05-22", "quarter": "Q2 2026", "waveId": "WAVE-Q2-2026-W2", "protocolVersion": "ars-methodology/v1.1", "summary": "First v3 measurement. AI Visibility 44.03 (18/18 valid datapoints, 3 providers, DE). AI Usability derived from a fleet wave: browser agents reached order_ready 3/3 via the TIA Selection Tool, HTTP/coding partial (specs held, close shell-level), ACT reached order-ready through the configurator with the final order submission gated by a Siemens ID login. Confidence C, single task." } ], "methodology": { "formula": "Agent Success Score = (AI Visibility × 0.20) + (AI Usability × 0.70) + (Evidence × 0.10)", "usabilityDerivation": "usability-derivation/v1", "protocolVersion": "ars-methodology/v1.1", "taskSelection": "https://www.hyperize.ai/en/methodology/task-selection", "agentSurface": "https://www.hyperize.ai/en/methodology", "dimensions": { "aiVisibility": "AI Visibility (Discoverability) — audit-pipeline-derived. 3–4 providers × 3 query variants × 2 runs.", "aiUsability": "AI Usability — derived from the per-class access profile (which agent classes reach the close state) modulated by close-state depth. The profile is the truth; the score is a reproducible summary, not a hand-rating.", "evidence": "Evidence — cross-method ground-truth consistency. A confidence layer, not a sales axis." } }, "consequenceClose": { "archetype": "actionability", "archetypeLabel": { "en": "actionability", "de": "Actionability" }, "source": "brand", "diagnosis": { "en": "On product discovery, Siemens is not failing to be read, the SIMATIC spec holds from raw HTTP to the configurator. It stalls at the close: the order is reachable but hard-gated by a Siemens ID login, and the simplest agents reach only a generic portal shell. The login and the shell are the gap.", "de": "In der Produkt-Discovery scheitert Siemens nicht am Gelesenwerden, die SIMATIC-Spec hält von Raw-HTTP bis zum Konfigurator. Es stockt am Abschluss: die Bestellung ist erreichbar, aber hart durch ein Siemens-ID-Login abgeriegelt, und die einfachsten Agenten erreichen nur eine generische Portal-Shell. Das Login und die Shell sind die Lücke." }, "evidence": { "en": "Browser-class agents configure the controller and reach order-ready; the simpler agents keep the spec but stall on a generic portal shell, and the order itself sits behind a Siemens ID login.", "de": "Browser-Agenten konfigurieren den Controller und erreichen Order-ready; die einfacheren Agenten behalten die Specs, bleiben aber an einer generischen Portal-Shell hängen, und die Bestellung selbst liegt hinter einem Siemens-ID-Login." }, "question": { "en": "The question this raises: where would deeper Action-pathway measurement — handoff stability, deep-link routing, structured booking endpoints — sharpen the read?", "de": "Die Frage daraus: Wo würde tiefere Action-Pfad-Messung — Handoff-Stabilität, Deep-Link-Routing, strukturierte Booking-Endpunkte — die Lesart schärfen?" }, "confidenceHedge": { "en": "Based on the current pilot slate, this read is directional.", "de": "Basierend auf dem aktuellen Pilot-Slate ist diese Lesart direktional." }, "closes": { "en": "Make the close callable, not a cleaner catalog. A structured, agent-reachable order path that does not dead-end at a login wall, and product-resolved surfaces so HTTP and coding agents reach the same order state the browser does, instead of a generic portal shell.", "de": "Den Abschluss callable machen, kein saubererer Katalog. Ein strukturierter, agentenerreichbarer Bestellpfad, der nicht an einer Login-Wand endet, und produktaufgelöste Surfaces, damit HTTP- und Coding-Agenten denselben Bestellzustand erreichen wie der Browser, statt einer generischen Portal-Shell." }, "proof": { "en": "The proof isn't a richer configurator. It's agents completing a product-resolved order across classes, not only the browser, re-measured each wave.", "de": "Der Beweis ist nicht ein reicherer Konfigurator. Es ist, dass Agenten eine produktaufgelöste Bestellung über alle Klassen abschließen, nicht nur der Browser, neu gemessen mit jeder Wave." }, "ctas": [ { "weight": "primary", "eyebrow": "Audit · €1,900", "title": { "en": "Commission an audit.", "de": "Audit beauftragen." }, "body": { "en": "Where the BrandScore opens the question, an audit closes it. An interpretive engagement on your full surface, scored under the same methodology.", "de": "Wo die BrandScore die Frage öffnet, schließt sie ein Audit. Ein interpretatives Engagement auf der vollen Surface, gemessen unter derselben Methodologie." }, "cta": { "en": "Get the audit", "de": "Audit anfragen" }, "href": "mailto:hello@hyperize.ai?subject=Audit%20%C2%B7%20Siemens" }, { "weight": "secondary", "eyebrow": "Founding · €4,500", "title": { "en": "Found with us.", "de": "Founding Program." }, "body": { "en": "Strategic partnership for brands building agent success as a long-term capability, not a one-off engagement.", "de": "Strategische Partnerschaft für Marken, die Agent-Success als langfristige Capability aufbauen — nicht als Einmal-Engagement." }, "cta": { "en": "Apply", "de": "Bewerben" }, "href": "mailto:hello@hyperize.ai?subject=Founding%20Program%20%C2%B7%20Siemens" }, { "weight": "secondary", "eyebrow": "Snapshot", "title": { "en": "Audit an adjacent property.", "de": "Eine angrenzende Property messen." }, "body": { "en": "The BrandScore covers the primary domain. Get the same methodology applied to an adjacent property: a country site, a sub-brand, a category beyond the DAX-40 slate.", "de": "Die BrandScore deckt die primäre Domain ab. Die gleiche Methodologie für eine angrenzende Property: eine Länderseite, eine Sub-Brand, eine Kategorie außerhalb des DAX-40-Slates." }, "cta": { "en": "Get a Snapshot", "de": "Snapshot anfragen" }, "href": "mailto:hello@hyperize.ai?subject=Snapshot%20%C2%B7%20adjacent%20property%20for%20Siemens" } ] }, "sources": [ { "id": "S1", "label": "Gate-1 audit run · Siemens Wave Q2 2026", "accessedAt": "2026-05-22", "supports": [ "AI Visibility score (18/18 valid datapoints across 3 providers)", "the close state reached (order_ready)" ], "url": null, "kind": "internal", "internalLabel": "Internal · Hyperize audit pipeline" }, { "id": "S2", "label": "Hyperize fleet · a fleet wave Industrials (access profile)", "accessedAt": "2026-05-22", "supports": [ "how each kind of agent fared (text/code partial, browser 3/3, act order-reached + Siemens ID gate)", "the close state reached (order_ready, login-gated)", "the tested product (SIMATIC S7-1500 with PROFINET)" ], "url": null, "kind": "internal", "internalLabel": "Internal · Hyperize fleet (Giorgio)" }, { "id": "S3", "label": "Task Selection Doctrine", "accessedAt": "2026-05-22", "supports": [ "fairness declaration", "Third-Party Interception framing" ], "url": "https://www.hyperize.ai/en/methodology/task-selection", "kind": "public", "internalLabel": null } ], "crossLinks": { "index": "https://www.hyperize.ai/en/dax40-index", "taskSelection": "https://www.hyperize.ai/en/methodology/task-selection", "agentSurface": "https://www.hyperize.ai/en/methodology", "foundingProgram": "https://www.hyperize.ai/en/founding-program" }, "scope": { "publishes": [ "Brand identity (name, legal entity, DAX ticker, sector)", "Composite (index-ranking) + AI Visibility + AI Usability (as access profile + derived score) + Evidence, with weights", "Per-agent-class access profile (which agent classes reach the close state)", "Third-Party Interception classification, direct/intermediary share, narrative", "Hyperize-selected task titles, close state, intermediary mode, task score, bottleneck sentence", "Measurement timeline (date, wave, protocol version, summary)", "Sources with public URLs or internal-evidence pointers", "Confidence grade + Evidence tier + Next review date", "Bottleneck classification (Discovery / Interception / Usability / Multi-axis / No dominant gap)", "Bottleneck archetype + consequence-claim diagnosis + operator question", "Test narrative (verdict, narrative, agent matrix, scope shift) — scene-level prose, no prompts or formulas" ], "doesNotPublish": [ "Task identifiers (internal)", "Raw and derived measurement artifact paths (internal repos)", "Per-phase outcome tables (ceiling / http / coding / browser_standard / act)", "Individual prompts and provider-specific transcripts", "Scoring derivation steps below the dimension level", "Sector task grid file references when still draft" ] } }